#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/compiler/jit/xla_compile_util.h"

  explicit PropagateQuantizeType() = default;

  StringRef getArgument() const final {
    // This is the argument used to refer to the pass in
    // the textual format (on the commandline for example).
    return "quant-propagate-quantize-type";
  }
  StringRef getDescription() const final {
    // This is a brief description of the pass.

// Converts a TensorFlow GraphDef contained in `input` param into a MLIR module.
// Creates MLIR entities into the given MLIR `context`.
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>>
GraphdefToMlirTranslateFunction(
    llvm::StringRef input, const std::vector<std::string>& input_arrays,
    const std::vector<std::string>& input_dtypes,
    const std::vector<std::optional<std::vector<int>>>& input_shapes,
    const std::vector<std::string>& output_arrays,

#include "tensorflow/compiler/mlir/tf2xla/api/v1/tf_dialect_to_executor.h"

#include <memory>
#include <string>
#include <utility>

#include "absl/log/log.h"
#include "absl/status/status.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project

#ifndef TENSORFLOW_COMPILER_MLIR_TF2XLA_INTERNAL_LEGALIZE_TF_TO_HLO_H_
#define TENSORFLOW_COMPILER_MLIR_TF2XLA_INTERNAL_LEGALIZE_TF_TO_HLO_H_

#include "llvm/ADT/StringRef.h"
#include "mlir/Pass/Pass.h"  // from @llvm-project
#include "tensorflow/compiler/tf2xla/xla_helpers.h"
#include "xla/client/compile_only_client.h"
#include "tensorflow/core/tpu/kernels/tpu_compile_op_support.h"

void FindCustomAggregatorOps(
    Region& region,
    const std::unordered_set<std::string>& aggregator_ops_to_ignore,
    SmallVector<Value>& statistics_outputs, SmallVector<StringRef>& ids,
    SmallVector<int32_t>& calibration_methods) {
  for (auto op : region.getOps<TF::CustomAggregatorOp>()) {
    if (aggregator_ops_to_ignore.count(op.getId().str())) continue;

    ids.push_back(op.getId());

#include "tensorflow/compiler/mlir/tf2xla/api/v2/tf_dialect_to_executor.h"

#include <memory>
#include <string>

#include "absl/log/log.h"
#include "absl/status/status.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project

#include "tensorflow/compiler/mlir/tf2xla/internal/legalize_tf_mlir.h"

#include <memory>
#include <string>
#include <vector>

#include "absl/log/log.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project

  explicit InsertRestoreOpPass() = default;

  // The argument used to refer to the pass in the textual format (e.g. on the
  // commandline).
  StringRef getArgument() const final { return "quant-insert-restore-op"; }

  StringRef getDescription() const final {
    return "Creates RestoreV2 op to initialize the variables in the "
           "initializer function (`tf_saved_model.initializer_type == "

  // Dialect is used to model TF GradientDef. GetGradientAttrName() returns the
  // string description of gradient attribute.
  static StringRef GetGradientAttrName() { return "tf.gradient"; }

  // This attribute marks if a function is stateful.
  // Returns the string description of stateful attribute.
  static StringRef GetStatefulAttrName() { return "tf.signature.is_stateful"; }

  // Returns true if the op can be duplicated during transformations.